Forecasting solid waste generation in Negeri Sembilan and Melaka

Solid waste management is vital to ensure the cleanliness of the country and keeping the good health of the people. In Malaysia, the solid waste management system is highly dependent on landfills to manage waste. However, landfill sites in Malaysia are in dire state and constructing new landfills be...

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Main Authors: Noryanti Nasir, Faridah Zulkipli, Nor Filzah Syazwani Mohd Faizal, Nurfarahin Mohamad Ghadafy, Nur Hazieqah Azman
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/17831/1/jqma-17-1-paper5.pdf
http://journalarticle.ukm.my/17831/
https://www.ukm.my/jqma/jqma17-1/
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.178312022-01-07T00:29:39Z http://journalarticle.ukm.my/17831/ Forecasting solid waste generation in Negeri Sembilan and Melaka Noryanti Nasir, Faridah Zulkipli, Nor Filzah Syazwani Mohd Faizal, Nurfarahin Mohamad Ghadafy, Nur Hazieqah Azman, Solid waste management is vital to ensure the cleanliness of the country and keeping the good health of the people. In Malaysia, the solid waste management system is highly dependent on landfills to manage waste. However, landfill sites in Malaysia are in dire state and constructing new landfills become impossible due to land scarcity. On top of that, the practice of recycling among the public are critically lacking which contributes to rapid increase in the volume of solid waste generated. Thus, forecasting solid waste generation is crucial to avoid overflow of waste. In this study, the solid waste produced in Negeri Sembilan and Melaka is forecasted to one year ahead and to see whether the landfills in both states are still able to accommodate the solid waste produced. Secondary data of the solid waste generated in Negeri Sembilan and Melaka from January 2017 to August 2020 is used in this study. The error measures of several univariate and ARIMA models are evaluated using the Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) to choose the best model in forecasting the solid waste generation in both states. The results revealed that ARMA (2,2) and ARMA (3,1) is the best model to forecast the solid waste generation in Negeri Sembilan and Melaka respectively. Besides, the estimated solid waste generation for both states also is approaching the maximum landfill capacity and this issue should be taken seriously so that environmental damage can be reduced. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17831/1/jqma-17-1-paper5.pdf Noryanti Nasir, and Faridah Zulkipli, and Nor Filzah Syazwani Mohd Faizal, and Nurfarahin Mohamad Ghadafy, and Nur Hazieqah Azman, (2021) Forecasting solid waste generation in Negeri Sembilan and Melaka. Journal of Quality Measurement and Analysis, 17 (1). pp. 61-77. ISSN 1823-5670 https://www.ukm.my/jqma/jqma17-1/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Solid waste management is vital to ensure the cleanliness of the country and keeping the good health of the people. In Malaysia, the solid waste management system is highly dependent on landfills to manage waste. However, landfill sites in Malaysia are in dire state and constructing new landfills become impossible due to land scarcity. On top of that, the practice of recycling among the public are critically lacking which contributes to rapid increase in the volume of solid waste generated. Thus, forecasting solid waste generation is crucial to avoid overflow of waste. In this study, the solid waste produced in Negeri Sembilan and Melaka is forecasted to one year ahead and to see whether the landfills in both states are still able to accommodate the solid waste produced. Secondary data of the solid waste generated in Negeri Sembilan and Melaka from January 2017 to August 2020 is used in this study. The error measures of several univariate and ARIMA models are evaluated using the Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) to choose the best model in forecasting the solid waste generation in both states. The results revealed that ARMA (2,2) and ARMA (3,1) is the best model to forecast the solid waste generation in Negeri Sembilan and Melaka respectively. Besides, the estimated solid waste generation for both states also is approaching the maximum landfill capacity and this issue should be taken seriously so that environmental damage can be reduced.
format Article
author Noryanti Nasir,
Faridah Zulkipli,
Nor Filzah Syazwani Mohd Faizal,
Nurfarahin Mohamad Ghadafy,
Nur Hazieqah Azman,
spellingShingle Noryanti Nasir,
Faridah Zulkipli,
Nor Filzah Syazwani Mohd Faizal,
Nurfarahin Mohamad Ghadafy,
Nur Hazieqah Azman,
Forecasting solid waste generation in Negeri Sembilan and Melaka
author_facet Noryanti Nasir,
Faridah Zulkipli,
Nor Filzah Syazwani Mohd Faizal,
Nurfarahin Mohamad Ghadafy,
Nur Hazieqah Azman,
author_sort Noryanti Nasir,
title Forecasting solid waste generation in Negeri Sembilan and Melaka
title_short Forecasting solid waste generation in Negeri Sembilan and Melaka
title_full Forecasting solid waste generation in Negeri Sembilan and Melaka
title_fullStr Forecasting solid waste generation in Negeri Sembilan and Melaka
title_full_unstemmed Forecasting solid waste generation in Negeri Sembilan and Melaka
title_sort forecasting solid waste generation in negeri sembilan and melaka
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/17831/1/jqma-17-1-paper5.pdf
http://journalarticle.ukm.my/17831/
https://www.ukm.my/jqma/jqma17-1/
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